|Business||Time||Project Coordinator||Funding Scheme|
|Industry||Start date: February 2015
End date: January 2018
|Dassault Systemes||H2020 – Horizon 2020
Call: FoF-2014, FoF-05 - Innovative product-service design using manufacturing intelligence
The use of data collected in real time through the Internet of Thing (IoT) technologies underpin the design of Product-Service System (PSS) and allows to follow the PSS along its life cycle. Available data allows a better measure and simulation of costs and sustainability issues, through Life Cycle Cost (LCC) and Life Cycle Assessment (LCA). Analysing data coming from IoT systems and sharing LCC and LCA information thanks to the ICT Platform, allows speeding up the design of Product-Service (P-S), decreasing costs and better understanding customer needs.
Four use cases are involved in the project: automotive, prefabricated buildings, shipyards, 3D printing.
Manutelligence project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No° 636951.
RINA provided support in the integration of LCA and LCC tools into the Manutelligence design platform, in order to seamlessly include environmental and economic considerations into the design process. Moreover, we studied the business potential of product and service lifecycle engineering tools within the manufacturing sector through extensive market analysis and supported the partners on the definition of a roadmap for the commercial exploitation of the project results, with particular attention to the use cases of the Manutelligence project.
Manutelligence has improved Product and Service Design by developing suitable models and methods, and connecting them through a modular collaborative secure ICT Platform.
Industrial partners involved in the project provide a clear overview of the Manutelligence results and prove how its technological solutions improve the Design of a Product-Service System and the management of the Product-Service life cycle.
The core technical achievements of Manutelligence are:
Features of the platform can be applied in many different industrial cases, improving the manufacturing efficiency and quality, addressing the needs captured from the products usage by the end users.
Michele De Santis